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Electricity Balance Data

Total antal rækker: 154,916


2019-10-19 20:00Z 2019-10-19 22:00 DK2 1,371.4 1,333.0 176.7 343.5 189.2 146.0 0.0 0.0 230.9 -302.4 587.4
2019-10-19 20:00Z 2019-10-19 22:00 DK1 1,994.3 1,932.6 464.6 535.5 295.0 123.7 29.8 0.0 203.5 302.4 66.3
2019-10-19 19:00Z 2019-10-19 21:00 DK2 1,461.9 1,410.1 176.0 327.8 234.9 142.8 0.0 0.0 526.0 183.2 -128.8
2019-10-19 19:00Z 2019-10-19 21:00 DK1 2,113.1 2,054.1 486.3 450.6 322.9 140.7 28.0 0.0 617.6 -183.2 210.2
2019-10-19 18:00Z 2019-10-19 20:00 DK2 1,542.3 1,500.7 183.2 309.9 253.2 131.4 0.0 0.0 25.2 -116.5 755.9
2019-10-19 18:00Z 2019-10-19 20:00 DK1 2,222.2 2,159.0 544.2 483.7 395.2 166.6 6.5 0.0 46.0 116.5 616.7
2019-10-19 17:00Z 2019-10-19 19:00 DK2 1,646.9 1,609.6 194.7 280.3 251.6 151.4 0.0 0.0 53.0 -83.7 799.6
2019-10-19 17:00Z 2019-10-19 19:00 DK1 2,367.2 2,306.9 565.1 539.1 484.0 231.5 4.0 0.0 66.3 83.7 571.3
2019-10-19 16:00Z 2019-10-19 18:00 DK2 1,732.6 1,697.8 193.5 259.5 248.1 178.7 0.0 0.0 23.4 160.8 668.7
2019-10-19 16:00Z 2019-10-19 18:00 DK1 2,500.9 2,434.9 542.9 504.9 482.8 181.8 4.1 0.0 6.9 -160.8 616.6
2019-10-19 15:00Z 2019-10-19 17:00 DK2 1,644.0 1,613.9 214.8 213.8 178.4 202.0 0.0 3.0 43.0 147.9 641.2
2019-10-19 15:00Z 2019-10-19 17:00 DK1 2,429.7 2,360.4 532.2 693.1 578.5 226.1 6.0 8.0 -213.7 -147.9 539.6
2019-10-19 14:00Z 2019-10-19 16:00 DK2 1,531.2 1,496.2 179.6 164.4 152.8 211.5 0.0 22.0 488.2 283.4 29.2
2019-10-19 14:00Z 2019-10-19 16:00 DK1 2,262.4 2,197.7 442.9 722.7 671.7 216.8 29.2 34.0 46.8 -283.4 138.3
2019-10-19 13:00Z 2019-10-19 15:00 DK2 1,506.9 1,463.9 179.6 203.8 203.2 208.2 9.3 59.0 598.3 382.2 -327.4
2019-10-19 13:00Z 2019-10-19 15:00 DK1 2,296.5 2,220.3 392.1 752.2 750.1 151.1 93.3 65.0 458.0 -382.2 -252.6
2019-10-19 12:00Z 2019-10-19 14:00 DK2 1,526.5 1,478.5 179.2 216.3 295.9 201.1 8.5 104.0 600.2 344.6 -414.8
2019-10-19 12:00Z 2019-10-19 14:00 DK1 2,281.1 2,214.5 416.3 705.3 965.0 157.5 79.5 94.0 600.5 -344.6 -448.2
2019-10-19 11:00Z 2019-10-19 13:00 DK2 1,538.2 1,487.2 180.4 217.4 345.0 220.2 0.0 110.0 598.7 396.2 -529.8
2019-10-19 11:00Z 2019-10-19 13:00 DK1 2,234.7 2,170.6 409.5 761.9 1,209.4 158.6 29.4 129.0 416.5 -396.2 -466.0
2019-10-19 10:00Z 2019-10-19 12:00 DK2 1,558.4 1,511.0 184.2 201.6 358.5 155.4 0.0 100.0 533.1 382.0 -356.4
2019-10-19 10:00Z 2019-10-19 12:00 DK1 2,289.8 2,217.6 378.4 792.8 1,410.3 175.0 29.5 149.0 564.8 -382.0 -301.2
2019-10-19 09:00Z 2019-10-19 11:00 DK2 1,565.8 1,524.1 187.1 178.9 332.7 154.4 0.0 65.0 522.8 254.1 -129.2
2019-10-19 09:00Z 2019-10-19 11:00 DK1 2,336.2 2,250.5 383.6 825.5 1,535.3 179.1 29.4 141.0 432.0 -254.1 -209.7
2019-10-19 08:00Z 2019-10-19 10:00 DK2 1,555.9 1,524.1 181.5 179.9 319.7 149.3 0.4 50.0 83.3 504.6 87.6
2019-10-19 08:00Z 2019-10-19 10:00 DK1 2,364.3 2,278.7 389.3 914.4 1,625.5 181.8 20.5 88.0 349.4 -504.6 -77.6
2019-10-19 07:00Z 2019-10-19 09:00 DK2 1,512.9 1,471.6 174.4 244.4 360.9 136.9 3.0 25.0 312.1 544.1 -285.0
2019-10-19 07:00Z 2019-10-19 09:00 DK1 2,365.4 2,272.7 331.0 1,156.1 1,707.5 186.0 25.3 47.0 -313.0 -544.1 17.7
2019-10-19 06:00Z 2019-10-19 08:00 DK2 1,436.4 1,377.9 170.9 286.3 393.6 135.2 19.7 7.0 592.9 579.5 -729.1
2019-10-19 06:00Z 2019-10-19 08:00 DK1 2,364.4 2,270.1 276.1 1,226.5 1,686.3 162.9 96.3 9.0 -282.1 -579.5 -110.4
2019-10-19 05:00Z 2019-10-19 07:00 DK2 1,323.0 1,266.1 167.8 302.6 400.4 124.4 15.7 0.0 523.3 481.9 -677.4
2019-10-19 05:00Z 2019-10-19 07:00 DK1 2,231.5 2,128.7 233.0 1,234.9 1,633.6 151.1 99.9 0.0 -620.1 -481.9 -279.6
2019-10-19 04:00Z 2019-10-19 06:00 DK2 1,209.2 1,155.7 170.9 323.9 454.7 122.3 0.6 0.0 313.4 560.2 -736.3
2019-10-19 04:00Z 2019-10-19 06:00 DK1 2,031.9 1,934.9 211.1 1,190.7 1,671.4 158.8 97.1 0.0 -41.5 -560.2 -297.1
2019-10-19 03:00Z 2019-10-19 05:00 DK2 1,163.9 1,093.9 171.2 335.9 486.5 129.2 0.0 0.0 588.1 589.8 -1,136.8
2019-10-19 03:00Z 2019-10-19 05:00 DK1 1,818.4 1,724.3 222.4 1,192.1 1,726.6 157.1 11.2 0.0 418.8 -589.8 -889.9
2019-10-19 02:00Z 2019-10-19 04:00 DK2 1,146.7 1,072.8 168.1 332.8 516.1 133.3 0.0 0.0 600.8 591.4 -1,195.7
2019-10-19 02:00Z 2019-10-19 04:00 DK1 1,757.6 1,674.6 218.9 1,133.0 1,757.1 152.8 8.4 0.0 408.8 -591.4 -924.9
2019-10-19 01:00Z 2019-10-19 03:00 DK2 1,148.8 1,074.5 166.1 349.6 502.3 137.9 0.0 0.0 600.3 591.5 -1,199.1
2019-10-19 01:00Z 2019-10-19 03:00 DK1 1,866.9 1,769.1 203.1 1,227.1 1,763.0 150.9 105.9 0.0 544.4 -591.5 -925.6
2019-10-19 00:00Z 2019-10-19 02:00 DK2 1,161.5 1,086.7 166.8 337.7 541.9 135.9 0.0 0.0 600.6 578.3 -1,199.7
2019-10-19 00:00Z 2019-10-19 02:00 DK1 1,782.4 1,674.9 221.3 1,242.7 1,994.1 154.3 10.9 0.0 268.3 -578.3 -959.1
2019-10-18 23:00Z 2019-10-19 01:00 DK2 1,194.5 1,122.7 168.0 342.1 570.5 133.4 0.0 0.0 600.5 379.3 -999.4
2019-10-18 23:00Z 2019-10-19 01:00 DK1 1,813.3 1,710.8 229.6 1,243.7 2,074.5 156.1 5.9 0.0 -1.3 -379.3 -946.4
2019-10-18 22:00Z 2019-10-19 00:00 DK2 1,252.3 1,186.1 169.8 345.3 591.4 127.2 0.0 0.0 600.8 108.4 -690.7
2019-10-18 22:00Z 2019-10-19 00:00 DK1 1,883.2 1,787.5 227.6 1,225.7 2,099.0 166.9 8.7 0.0 -385.5 -108.4 -990.5
2019-10-18 21:00Z 2019-10-18 23:00 DK2 1,343.9 1,269.9 170.8 364.3 582.6 131.5 0.0 0.0 600.8 547.2 -1,053.3
2019-10-18 21:00Z 2019-10-18 23:00 DK1 2,093.2 1,989.8 235.4 1,256.7 2,009.6 208.0 74.4 0.0 -389.2 -547.2 -993.1
2019-10-18 20:00Z 2019-10-18 22:00 DK2 1,435.7 1,365.3 171.2 380.7 558.7 132.0 0.0 0.0 600.6 446.4 -853.9
2019-10-18 20:00Z 2019-10-18 22:00 DK1 2,127.7 2,057.4 268.6 1,235.8 1,813.5 174.2 13.2 0.0 105.5 -446.4 -977.9

Data Dictionary

Column Type Label Beskrivelse
HourUTC timestamptz
HourDK timestamp
PriceArea text
GrossCon float8
NetCon float8
LocalPowerProd float8
OffshoreWindPower float8
OnshoreWindPower float8
CentralProd float8
ElectricBoilerCon float8
SolarPowerProd float8
ExchangeContinent float8
ExchangeGreatBelt float8
ExchangeNordicCountries float8

Hour UTC

Navn Hour UTC
Beskrivelse

A date and time (interval), shown in UTC time zone, where the values are valid. 00:00 o’clock is the first hour of a given day interval 00:00 - 00:59 and 01:00 covers the second hour (interval) of the day and so forth. Please note: The naming is based on the length of the interval of the finest grain of the resolution.

Kommentar

Please note that the format shown in the example applies to data download as JSON, XML or fetched through the API and is in accordance with the ISO 8601 standard. The format is slightly different when it is shown on screen or downloaded manually as CSV or XLSX. This is mainly due to readability and consideration for Excel users.

In preview (in the GUI) all timestamps are shown as (display convention) YYYY-MM-DD hh:mmZ e.g. 2017-07-14 08:00Z. The Z will remind viewers that this is UTC.

In download (CSV and XLSX) the date time are exported as YYYY-MM-DD hh:mm e.g. 2017-07-14 08:00. That is without the “T” and the “Z” and the seconds. Excel will recognize it as date-time. The user must remember the convention about time zones.

In download (JSON and XML) the full format is used YYYY-MM-DDThh:mmZ e.g. 2017-07-14T08:00Z.

Eksempel 2017-07-14T08:00Z
Enhed
Felt HourUTC
Property Constraint
Type timestamptz
Størrelse 17
Format Regex
Validation Rules Always full hours, i.e. minutes are 00

Hour DK

Navn Hour DK
Beskrivelse

A date and time (interval), shown in Danish time zone, where the values are valid. 00:00 o’clock is the first hour of a given day, interval 00:00 - 00:59, and 01:00 covers the second hour period (interval) of the day and so forth.

Kommentar

On one normal day there will be 24 intervals.

When daylight saving times shifts there will be either 23 or 25 intervals.

Please note that the format shown in the example applies to data download as JSON, XML or fetched through the API and is in accordance with the ISO 8601 standard. The format is slightly different when it is shown on screen or downloaded manually as CSV or XLSX. This is mainly due to readability and consideration for Excel users.

In preview (in the GUI) all timestamps are shown as (display convention) YYYY-MM-DD hh:mm e.g. 2017-07-14 08:00. Please note that is no time zone indicator, showning that this is local (Danish) time.

In download (CSV and XLSX) the date time are exported as YYYY-MM-DD hh:mm e.g. 2017-07-14 08:00. That is without the “T” and the seconds. Excel will recognize it as date-time. The user must remember that this is local (Danish) time.

In download (JSON and XML) the format used is YYYY-MM-DDThh:mm e.g. 2017-07-14T08:00.

Eksempel 2017-07-14T08:00
Enhed
Felt HourDK
Property Constraint
Type timestamp
Størrelse 17
Format Regex
Validation Rules Always full hours, i.e. minutes are 00

Price area

Navn Price area
Beskrivelse

DK1 is Jutland and Fyen and DK2 is Zealand and islands

Kommentar

DK1 and DK2 are the standard abbreviation for the two Danish price areas

Eksempel DK1
Enhed
Felt PriceArea
Property Constraint
Type text
Størrelse 3
Format Regex DK1 | DK2
Validation Rules DK1 or DK2

Gross Consumption

Navn Gross Consumption
Beskrivelse

Sum of the consumption incl. transmission loss

Kommentar
Eksempel 543,45
Enhed MWh
Felt GrossCon
Property Constraint
Type float
Størrelse 9.1
Format Regex ([0-9]*[,])[0-9]
Validation Rules >=0

Net consumption

Navn Net consumption
Beskrivelse

Sum of the consumption excl. transmission loss

Kommentar
Eksempel 15
Enhed MWh
Felt NetCon
Property Constraint
Type float
Størrelse 9.1
Format Regex ([0-9]*[,])[0-9]
Validation Rules >=0

Local Production

Navn Local Production
Beskrivelse

Sum of production from local Combined Heat and Power units (CHP)

Kommentar
Eksempel 543,45
Enhed MWh
Felt LocalPowerProd
Property Constraint
Type float
Størrelse 9.1
Format Regex ([0-9]*[,])[0-9]
Validation Rules >=0

Offshore WindPower

Navn Offshore WindPower
Beskrivelse

Electricity production from offshore wind power

Kommentar
Eksempel 15
Enhed MWh
Felt OffshoreWindPower
Property Constraint
Type float
Størrelse 9.1
Format Regex ([0-9]*[,])[0-9]
Validation Rules >=0

Onshore WindPower

Navn Onshore WindPower
Beskrivelse

Electricity production from onshore wind power

Kommentar
Eksempel 15
Enhed MWh
Felt OnshoreWindPower
Property Constraint
Type float
Størrelse 9.1
Format Regex ([0-9]*[,])[0-9]
Validation Rules >=0

Central production

Navn Central production
Beskrivelse

Sum of production from central power Plants

Kommentar

Central power Plants are eg Skærbækværket, Studstrupværket and Herningværket

Eksempel 15
Enhed MWh
Felt CentralProd
Property Constraint
Type float
Størrelse 9.1
Format Regex ([0-9]*[,])[0-9]
Validation Rules >=0

Electric boiler consumption

Navn Electric boiler consumption
Beskrivelse

Consumption of electric boilers in the district heating systems

Kommentar
Eksempel 15
Enhed MWh
Felt ElectricBoilerCon
Property Constraint
Type float
Størrelse 9.1
Format Regex ([0-9]*[,])[0-9]
Validation Rules >=0

Solar power production

Navn Solar power production
Beskrivelse

Production of electricity from solar cells.

Kommentar

Production is to some extent estimated

Eksempel 15
Enhed MWh
Felt SolarPowerProd
Property Constraint
Type float
Størrelse 9.1
Format Regex ([0-9]*[,])[0-9]
Validation Rules >=0

Exchange Continent

Navn Exchange Continent
Beskrivelse

Exchange of electricity towards continental Europe

Kommentar

A positive exchange is import of electricity, while a negative is export.

Both DK1 and DK2 are only connected to Germany until 2019, where DK1 also will be connected the the Netherlands through the COBRA connection.

Eksempel 15
Enhed MWh
Felt ExchangeContinent
Property Constraint
Type float
Størrelse 9.1
Format Regex ([0-9]*[,])[0-9]
Validation Rules

Exchange GreatBelt

Navn Exchange GreatBelt
Beskrivelse

Exchange of electricity over the Great Belt connection between DK1 and DK2

Kommentar

A positive exchange is import of electricity, while a negative is export.

Eksempel 15
Enhed MWh
Felt ExchangeGreatBelt
Property Constraint
Type float
Størrelse 9.1
Format Regex ([0-9]*[,])[0-9]
Validation Rules

Exchange Nordic Countries

Navn Exchange Nordic Countries
Beskrivelse

Exchange of electricity towards Norway and Sweden.

Kommentar

A positive exchange is import of electricity, while a negative is export.

DK1 are connected to both Norway and Sweden, DK2 only to Sweden

Eksempel 15
Enhed MWh
Felt ExchangeNordicCountries
Property Constraint
Type float
Størrelse 9.1
Format Regex ([0-9]*[,])[0-9]
Validation Rules